design and simulation of robust controllers for power ......power energy. to obtain the maximum...

(IJACSA) International Journal of Advanced Computer Science and Applications,

Vol. 8, No. 5, 2017

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www.ijacsa.thesai.org

Design and Simulation of Robust Controllers for

Power Electronic Converters used in New Energy

Architecture for a (PVG)/ (WTG) Hybrid System

Mohamed Akram JABALLAH

UR-LAPER, Faculty of Sciences of

Tunis, University of Tunis El Manar

Tunis, Tunisia

Dhafer MEZGHANI



Tunis, Tunisia

Abdelkader MAMI



Tunis, Tunisia

Abstract—The use of the combination of photovoltaic energy

source and the wind energy source as a hybrid configuration has

become an alternative solution to produce power energy to fed

industrial and domestic applications. In order to fully exploit the

energy provided by both sources and ensure a very high

efficiency it is necessary to oblige the hybrid power system to

produce the maximum possible power. Indeed, in the

applications based on renewable energy, power converters are

used as an essential element that can help the global energy

system to extract maximum power. This paper focuses on

developing and optimising of a new architecture for hybrid

photovoltaic generator (PVG) / wind turbine generator (WTG)

power energy. To obtain the maximum power, two kinds of

MPPT procedures have been used: the first is based on MPPT

(P&O) sliding mode control (MPPTSMC) for the photovoltaic

generator (PVG), and the second is a control based on MPPT

current control (MPPTCC) approach and that for the wind

turbine generator (WTG). In addition, the proposed hybrid

power system can work very well under changes of climatic

conditions, such as irradiation and wind speed. On the other

hand, in order to maintain dc-link at a desired and stable value,

during these variations, we have integrated a boost converter

controlled by a sliding mode controller (SMC). A simulation

model for the hybrid power system has been carried out using

PSIM tools.

Keywords—(PVG)/(WTG) Hybrid system; (MPPTSMC);

(MPPTCC); Wind turbine generator (WTG); Photovoltaic

generator (PVG)

I. INTRODUCTION

The electricity demand is rapidly growing all over the world. Indeed, photovoltaic and wind power sources produce a large amount of energy and are able to cover this need. A system of energy production based on a photovoltaic generator (PVG)/wind turbine generator (WTG) hybrid system can be used in two famous applications namely: standalone application [1], [2], [3] and grid-connected applications [4], [5]. In addition, a hybrid power system may also include power converters, a storage system and a control unit for load management. Nevertheless, to satisfy load request, the system should present a good exploitation and a high general efficiency . For that, it is necessary to extract the maximum of power from these two energy sources. MPPT is a necessary part in (PVG)/(WTG) hybrid system configuration.

Various techniques of maximum power tracking (MPPT) have been considered in renewable power applications. For the photovoltaic generator (PVG), the perturbation and observation (P&O) method allow MPP tracking even in changing environmental conditions [6], [7]. For the wind turbine generator applications, various methods have been developed in [8], [9]. Sliding mode control is used, in many research studies, to track the maximum power point (MPP) in photovoltaic applications [10], [11] [12], [13].The main advantage of the sliding mode technique is the simplicity of implementation, robustness, and the great performance. In this work two types of MPPT procedure have been used: the first is based on MPPT (P&O) sliding mode control (MPPTSMC) for the photovoltaic generator (PVG), the second is based on MPPT current control (MPPTCC) approach for the wind turbine generator (WTG). In this research, the renewable hybrid source of energy is used to supply continuous power to the standalone application. So, in order to achieve a constant dc-link voltage, a robust sliding mode control (SMC) controller is applied to a dc-dc boost converter interposed between the two sources and the used load.

A number of researches have discussed the control of different configurations architecture for hybrid (PVG/WTG) system energy [1], [2], [3],[4], [5]. While the present paper is the first one, to the best of the authors’ knowledge, whose propose a new architecture based on two dc-dc buck converters coupled in parallel, cascaded with a dc-dc boost converter.

This paper is organised as follows: In Section 2, the global hybrid energy system is described. In Section 3, the dc-dc power stage is analysed. The Modeling of the battery bank is presented in Section 4. The theoretical study of control strategies is discussed in Section 5. The simulation results under PSIM software tools are interpreted in Section 6. The conclusion is addressed in the last of this work.

II. GLOBAL (PVG)/(WTG) HYBRID SYSTEM

The proposed hybrid system consists of a wind turbine generator (WTG), a permanent magnet synchronous generator (PMSG), a three phase uncontrolled rectifier converter, a photovoltaic generator (PVG), two dc-dc buck power converters, a dc-dc boost power converter, a common battery bank storage and a load connected, as shown in Figure 1.


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Fig. 1. The global (PVG)/(WTG) hybrid system.

A. Modelling of the photovoltaic generator(PVG)

A photovoltaic cell can be described by the equivalent circuit diagram in Figure 2, constituted by a source of current Iph, depending on the photovoltaic irradiance in parallel with a diode and a shunt resistor Rsh, the all in series with a resistance Rs. The simplified equivalent electric system of a photovoltaic cell designated by the coming equations [14], [15]:

PV Ph dI I I (1)

exp 1PVd S

q VI I

A k T

(2)

Re( )Ph SC I fr

SI I K T T

S (3)

3

Re Re

1 1exp

A gap

S RSf f

q ETI I

T A k T T

(4)

Re

exp 1

SCRS

OC

f

II

q V

A k T

(5)

(exp 1PV PV S PV PV S

PV Ph SSh

q V I R V I RI I I

A k T R

(6)

Fig. 2. The equivalent electric circuit of a photovoltaic cell

Where q is the charge of the electron, A is diode ideality factor, k is Boltzmann’s constant, and T is the cell’s operating temperature in kelvin. IS is the cell dark saturation current. ISC

is the short-circuit current, KI is the temperature coefficient of the cell’s short circuit (Amperes/ K), TRef is the cell reference temperature in kelvin, S is the solar irradiance in W/m

2 and Sr

represents the reference solar irradiance (W/m2),Sr=

1000(W/m2). VOC is the open-circuit voltage at reference

temperature TRef. IRS is the cell’s reverse saturation current in ampere at TRef, and the solar radiation 1000(W/m

2). Egap is the

band-gap energy of the semiconductor used in the cell.

The characteristics Ppv(Vpv), Ipv(Vpv) under different irradiance levels is shown in Figure 3 and the characteristic Ppv(Vpv), Ipv(Vpv) under different temperature is shown in Figure 4. As illustrated in the figures, the temperature have a commanding influence on the open circuit voltage VOC, and photovoltaic irradiance has an impact on the short-circuit current.

(a)

(b)

Fig. 3. Photovoltaic generator characteristics under different level of

irradiance and at (25°C): (a) Ipv=f(Vpv), (b) Ppv=f(Vpv)


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(a)

(b)

Fig. 4. Photovoltaic generator characteristics under different level of

temperature and at 1000(W/m2): (a) Ipv=f(Vpv), (b) Ppv=f(Vpv)

B. Modelling of the wind turbine generator (WTG) system

In general, a wind turbine generator (WTG) system consists of a wind turbine with blades which takes the energy of the air mass in motion, a synchronous machine with permanent magnets for the electromechanical conversion, a three phase uncontrolled rectifier, which makes the (AC/DC) electric conversion.

a) Modelling of the wind turbine (WT)

A wind turbine (WT) is a machine that converts wind energy into mechanical energy. The power developed by a (WT) is demonstrated [16] by:

2 31( , )

2turbine p VP C R V (7)

Where R is the radius of the (WT), VV is the wind speed,

is the air density, pC ( , ) is the power coefficient, is the

tip speed ratio and is the pitch angle. In this work is fixed

to zero. The tip speed ratio is defined by:

turbine

V

R

V

(8)

Where turbine is the angular velocity of the rotor of the

(WT). The curve of the output power of the wind turbine (WT) versus to different level of wind speed is shown in Figure 5.

Fig. 5. Output power of the (WT) versus to different level of wind speed

b) Modelling of the permanent magnetic synchronous

generator (PMSG)

These types of generators are the most used, in the category of small wind turbine generator (SWTG) for its low cost and simplicity. The mathematical model of the (PMSG) is given [17] by:

q

q S q q e d d e m

div R i L L i

dt (9)

d

d S d d e q q

div R i L L i

dt (10)

Where SR is the stator winding resistance; dL and qL are

stator inductances in direct and quadrature axis, respectively;

di and qi are the currents in direct and quadrature axis,

respectively; e is the electrical angular speed of the generator;

m is the amplitude of the flux linkage. The expression for the

electromagnetic torque can be described as:

3

2em d q q d q m

PT L L i i i

(11)

Where P is the number of poles pairs. The relation between

electrical angular speed e and mechanical angular speed

turbine is expressed by:

2e turbine

P (12)

c) Modelling of the three phase uncontrolled rectifier

Figure 6 shows the PMSG with a three phase diode

rectifier. SR is the stator resistance, SL is the stator

inductance of PMSG. The instantaneous voltage (phase a) of (PMSG) are given by [18]:

sin( )an mV V t (13)


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Where, mV is the peak value of phase voltage. The dc

voltage and current output depend on the generator voltage and current as follows:

3 3 3 6dc m m effV V P

(14)

6dc aI I

(15)

Where m eff is the amplitude of the flux linkages (Wb).

dcV and dcI are average output voltage and current of the

rectifier, and aI is the output current of the generator (phase a).

Fig. 6. (PMSG) with three phase diode rectifier

III. (DC-DC) POWER STAGE

(DC-DC) the power converter is an electronic circuit that converts a source of dc current from one voltage level to another. In this paper, two dc-dc buck converters and a dc-dc boost converter are used in order to achieve a high efficiency of the hybrid system. This section describes the mathematical model and the design of these power converters [19].

A. (DC-DC) Buck converter

(DC-DC) a buck converter, illustrated in Figure 7 is used in our work as an intermediate between the photovoltaic generator (PVG), wind turbine generator (WTG) and the load to extract the maximum power from these two sources. We can easily deduce the average output voltage and current in the load as [19]:

(1 )

o buck in

o buck L

V V

I I

(16)

With 0 1buck

Fig. 7. Basic schema of (dc-dc) buck converter

B. (DC-DC) boost converter

In this power converter illustrated in Figure 8, the average output voltage is greater than the input voltage. The average output voltage and current in the load are given by [19]:

1( )1

(1 )

o in

boost

o boost L

V V

I I

(17)

With 0 1boost

Fig. 8. Basic schema of (dc-dc) boost converter

IV. MODELING OF THE BATTERY BANK

Different types of battery models are presented in the literature [20]. In this wok the linear model is used as the battery model. This model consists of an ideal battery with

open-circuit voltage, 0E and an equivalent series resistance,

SR . battV represents the terminal voltage of the battery. This

terminal voltage can be obtained from the open circuit tests as well as from load tests conducted on a fully charged battery. Figure 9 illustrated the linear model of the battery.

Fig. 9. Basic schema of the battery linear model

V. CONTROL STRATEGIES OF THE (PVG)/(WTG) HYBRID

SYSTEM

A. Maximum power tracking strategies the (PVG)/(WTG)

hybrid system

1) MPPT (P&O) Technique: Perturb and Observe (P&O) is one of the MPPT techniques.

This method uses the (voltage/current) to compute maximum power. As its name indicates, this method works by perturbing and observing the impact of the system regulation on the output power of the renewable energy sources [21]. Figure 10 shows (P&O) algorithm flowchart.


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Fig. 10. (P&O) algorithm flowchart

2) Maximum tracking control strategy for the (WTG): The aim of the MPPT technique is to set the power

coefficient pC to its maximal value. p p maxC C , corresponding

to the opt [22-23]:

opt

opt VVR

(18) We deduce the maximum value of the power of the (WTG) as:

3

max opt turbineP K (19)

The optimal torque allowing the (MPPT) is given by:

2

_em ref opt turbineT K (20)

Where

2 3

max0.5 ( )opt p

opt

RK R C

(21)

The dc-dc buck converter is used to track the maximum power of the PMSG at any wind speed. In this work the (P&O)

algorithm is used to generate a reference current refI , which is

compared to the measured battery current battI . After that, the

error between refI , and battI is passed through a PI controller.

The output of the PI controller is added to the measured

voltage of the combination of the two sources hybridV and

divided by the measured output voltage of the uncontrolled

rectifier dcV to generate the duty cycle. The duty cycle

generated is used to produce the right PWM pulse for the switch of the dc-dc buck converter. Finally, the PMSG will work under the desired condition. In the other hand, when the wind reaches a certain speed, the available wind power can exceed the nominal power of the (WTG), which can impair the correct operation of the PMSG and the dc-dc buck converter. To limit the power value, the author in [9] has used a technique which consists of imposing a limit value of power and was

compared it to the measured power on the battery side to set the reference value of power. In our work, we imposed a limit current which corresponds to the limiting power, in our case 550(W). This value was compared with the value of the current generated by the (P&O) algorithm to impose the final reference current value that was used in our control strategy.

The (MPPTCC) diagram of the wind turbine generator (WTG) system is shown in Figure 11.

Fig. 11. The MPPT strategy control of the wind turbine generator (WTG)

3) The Proposed MPPT Sliding Mode

Control(MPPTSMC) approach: The aim of this section is to develop a novel approach to

extract the maximum power from the photovoltaic generator using a sliding mode control (SMC).

Sliding mode control (SMC) is a nonlinear control solution and a variable structure control (VSC). It is a technique that maintains the system trajectory along a particular surface, which is commonly called a sliding surface. The design of the control can be realised in three main steps very dependent on each other [24]:

The choice of the surface.

The establishment of the existence of convergence conditions.

Determining of the control law.

In this section, we are interested in the synthesis of a

sliding mode control using a reference voltage refV provided

by an MPPT (P&O) algorithm to extract the maximum power from the photovoltaic generator. The sliding surface assures that the sliding movement is reached and regulates the output voltage of the dc-dc buck converter at desired value

desiredV 24V .

After determined refV , the (SMC) algorithm calculate the

difference between the obtained photovoltaic voltage PVV and

the refV and then, via the buck converter force the photovoltaic

generator to operate at the reference voltage refV and therefore

at the maximum power zone [25].

( , , )hybrid PV refS V U V V K (22)

, (0) 0hybrid desiredV V

(23)

Where desiredV desired output voltage of the dc-dc buck

(24V). K is a positive constant and hybridV is the voltage value

of the combination of the two sources.


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The control law for this case is described by:

( , , ) 01

( , , ) 00

hybrid

hybrid

S V UU

S V U

(24)

Indeed, if S 0 then the operating point is to the right of

the reference voltage refV , the command must move it to the

left. This is possible, if U 1 . On the other hand, if S 0 then

the operating point is on the left of the reference voltage refV ,

the command must move it to the right. This is possible if

U 0 .The (MPPTSMC) diagram of the photovoltaic

generator (PVG) system is shown in Figure 12.

Fig. 12. The MPPT strategy control of the photvoltaic generator (PVG)

4) Boost output votage sliding mode control: We propose in this section, a control strategy of the output

voltage of the hybrid system. Indeed, in the most industrial applications supplied by a renewable energy source, such as water pumping, the load must be powered by a constant voltage. In our work, we intercalated a dc-dc boost converter, in cascade with the output of the combination of the two sources, controlled by a sliding mode controller (SMC) to reach the desired output voltage.

The control law for this case is described by:

1

1

1

01

00

SU

S

(25)

Where 1S is the sliding surface.

The following values were considered, 1 Hybridx I and

2 boostx V . The goal here is to reach the reference voltage

value, boost _ refV :

2 _boost refx V (26)

Based on the theory of sliding mode proposed in [26], we can define the sliding mode surface as follows:

1 1 0LrefS x I (27)

To impose 1S 0 , we will use the control signal 1U

proposed in [26]:

1 1

1(1 ( ))

2U sign S (28)

The (SMC) diagram of the (dc-dc) boost converter is shown in Figure 13.

Fig. 13. The (SMC) of the (dc-dc) boost converter

VI. SIMULATION RESULTS AND DISCUSSION

In order to validate the proposed strategies of power control and show its effectiveness, a simulation of the global system described in Figure 14 was carried out using PSIM software [27]. The (PVG) consist of four photovoltaic modules of Kaneka k60 of 60(W) [28] are connected in parallel, and a combined block is formed with dc-dc buck power converter. In the other hand, the AIR X 400W small (WTG) [29] coupled with (PMSG), a three phase uncontrolled rectifier and the dc-dc buck converter. Technical parameters of the (PVG) and the (WTG) are shown in Table1, Table 2 respectively.

TABLE I. KANEKA K60 VALUES USED WITH THE PSIM SOFTWARE TOOL

(AT STANDARD TEST CONDITIONS: 1000W/M2 & 25°C)

Parameters Values

Maximum Power Pmax 60W (+10/-5%)

Cells per Module 108

Voltage at Pmax 67 V

Current at Pmax 0.91 A

Open Circuit Voltage (Voc) 94 V

Short-Circuit Current (Isc) 1.19 A

Shunt Resistance Rsh 4 ohm

Series Resistance Rs 0.16 ohm

TABLE II. TECHNICAL SPECIFICATIONS OF THE AIR X WIND TURBINE

USED WITH THE PSIM SOFTWARE TOOL

Parameters Values

Rotor Diameter 46 in (1.15 m)

Weight 13 lb (5.85 kg)

Start Up Wind Speed 15.6 mph (7.5 m/s)

Voltage 24 VDC

Rated Power 386 watts at 28 mph (12.5 m/s)

Base rotational speed 1700 rpm

Initial rotational speed 500 rpm

Moment of inertia 0.001m Kg.m2


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Fig. 14. Simulation bloc of the (PVG) / (WTG) hybrid system

1) Simulation results of the photovoltaic generator (PVG)

system The photovoltaic irradiation level starts from (800W/m

2),

then increases to (1000W/m2), after that decreases to

(650W/m2), and reach the value of 900W/m

2 finally. In this

work the temperature is fixed to the value 25°C. Figure 15 shows the photovoltaic sunshine profile.

Fig. 15. Irradiance profile

The dc-dc buck converter is used here as a matching stage, it helps to extract the maximum power from the photovoltaic panel and ensure a good use of the power energy. The parameters design of the dc-dc buck converter used in the (PVG) system is illustrated in Table 3.

Figure 16 shows the output voltage of the (PVG) under different levels of irradiance, and we can see that its value is nearly equal to the output voltage (Vmpp ) of the photovoltaic panel at the maximum power point and the value is about 67(V). The output voltage of the buck converter used in the

(PVG) is illustrated in Figure 17, and we can notice that the value is nearly stable at 24 V.

TABLE III. DESIGN OF THE BUCK CONVERTER FOR THE (PVG) SYSTEM

Symbol Actual Meaning Value

Vin Input voltage 67 V

Vout Output voltage 24 V

D Duty cycle 0.358

L Filter inductance

27 µH

C Filter capacitance

470 µF

Iout Maximum output current

10.05 A

Fig. 16. The output voltage of the (PVG)


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Fig. 17. The output voltage of the dc-dc buck converter used in (PVG) system

At the period of simulation between 3(s) and 4(s) of Figure 15, the photovoltaic irradiance is fixed at 900 (W/m

2). At this

condition, the output current delivered from the (PVG) is 3.24(A) as shown in Figure 18 and the output current of the dc-dc buck converter is equal to 8.69(A) as shown in Figure 19.

Fig. 18. The output current of the (PVG)

Fig. 19. The output current of the dc-dc buck converter in (PVG) system

Figure 20 shows the waveform of the output powers of the (PVG) and the dc-dc buck converter for step change of irradiance from 800 (W/m

2) to 1000 (W/m

2) to 650 (W/m

2),

and then to 900 (W/m2).

The pursuit of maximum power point is good and without oscillation. The yield is maximal and the efficiency of the

(PVG) system is more than 95% as shown in Figure 21. From the simulation results, we can notice, the robustness of the (MPPTSMC) against the variation of photovoltaic sunshine.

Fig. 20. Outputs powers of the (PVG) system

Fig. 21. The efficiency of the (PVG) system

2) Simulation results of the wind turbine generator system For the wind speed, the changing profile is shown in

Figure 22. It evolves from a value of 11(m/s) to 12 (m/s), then to 10.5 (m/s) and finally it increases to a value of 12.5 (m/s).The dc-dc buck converter is used here as a matching stage, it helps to extract the maximum power from the wind turbine generator (WTG). The parameters design of the dc-dc buck converter used in the (WTG) is illustrated in Table 4.

TABLE IV. DESIGN OF THE BUCK CONVERTER FOR THE (WTG) SYSTEM


Vin Input voltage 67.74 V

Vout Output voltage 24 V

D Duty cycle 0.354

L Filter inductance

50 µH


470 µF


16.04 A


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Fig. 22. Wind speed profile

Figure 23 shows the variations of the Wind turbine power coefficient CP under different levels of wind speed. The variation of the tip speed ratio under different levels of wind speed is illustrated in Figure 24.

Fig. 23. Power coefficent CP of the (WTG)

Fig. 24. Tip speed ratio (TSR) of the (WTG)

Fig. 25. The output current of the dc-dc buck converter used in (WTG)

system

At the period of simulation between 3(s) and 4(s) of Figure 22, the wind speed is fixed at 12.5(m/s). At this condition, the output current of the dc-dc buck converter is equal to 16.02(A) as shown in Figure 25.

Fig. 26. The output voltage of the dc-dc buck converter used in (WTG)

system

The output voltage of the buck converter used in the (WTG) is illustrated in Figure 26, and we can notice that the value is nearly stable at 24(V).

Figure 27 shows the waveform of the output powers of the (WTG) and the dc-dc buck converter for step change of wind speed from 11(m/s) to 12(m/s) to 10.5(m/s), and then to 12.5 (m/s).

Fig. 27. Output powers of the (WT) and the dc-dc buck converter used in

(WTG) system


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The pursuit of maximum power point is good and without oscillation. The yield is maximal and the efficiency of the (WTG) system is more than 98% as shown in Figure 28. From the simulation results, we can notice, the robustness of the (MPPTCC) against the variation of wind speed.

Fig. 28. Efficiency of the (WTG) system

3) Simulation results of the hybrid power system The output voltage which is obtained from the

(PVG)/(WTG) hybrid system, is illustrated in Figure 29. We can notice that the output voltage Vhydrid of the combined sources is equal to the output voltages of the two buck converters used in (PVG) and (WTG). The output voltage Vhydrid of the combined sources is nearly stable at 24 (V).

Fig. 29. Output voltage the combined sources

Figure 30 point out the simulation results of the output current of combined sources Ihybrid. We can deduce that when the climate factors changes, the output current Ihybrid is less than 30(A) and more than 5(A).

Fig. 30. Output currents the combined sources

Figure 31 shows the simulation results of the output powers which is obtained from the (PVG)/(WTG) hybrid system for varying sunshine values (800W/m

2, 1000W/m

2 650W/m

2 and

900W/m2) and varying wind speed (11 m/s, 12 m/s, 10.5 m/s

and 12.5 m/s). We can notice that, the hybrid power is equal to the sum of the two powers delivered by the two sources.

Fig. 31. Output powers of the (PVG)/(WTG) hybrid system

4) Simulation results of the the dc-link boost output

voltage control The dc-link voltage control is based on (PI) controller and

the current loop is based on the sliding mode control (SMC). The Proportional Integral controller is having the following parameters: the gain K= 0.01 and the time constant T=0.0001s. The parameters design of the dc-dc boost converter used in this paper is illustrated in Table 5.

TABLE V. DESIGN OF THE BOOST CONVERTER


Vin Input voltage 24 V

Vout Output voltage 570V

D Duty cycle 0.957

L Filter inductance

2.7 µH


47 µF


0.965 A

Figure 32 illustrates the average output current of the dc-dc boost converter, which is stable at the value of 0.965(A). At the end of the simulation, results have confirmed the utility of the (SMC) approach. The output voltage of the dc-dc boost converter reaches the reference value after 0.043(s) and stabilises at 570 (V) as shown in Figure 33.

Fig. 32. The output current of the dc-dc boost converter


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Fig. 33. The output voltage of the dc-dc boost converter

Fig. 34. The output power of the dc-dc boost converter

In another hand, the average output power Pboost value at the output of the dc-dc boost converter is equal to 547.89(W) as shown in Figure 34. From this we can deduce, that the specifications of the design are respected.

VII. CONCLUSION

In this paper, the modeling and simulation of standalone (PVG)/(WTG) hybrid power generation system has been proposed by integrating a power electronic converters to permit the good exploitation of this new electricity production unit. The proposed hybrid power system has been implemented under PSIM environment.

A control strategy based on MPPT sliding mode control (MPPTSMC) using the (P&O) algorithm was developed in order to control the output power of the photovoltaic unit , which comprises a photovoltaic generator (PVG), a dc-dc buck converter that is able to step-down the output load voltage. In another hand, MPPT based on current control (MPPTCC) is used for the wind turbine generator (WTG). In order to control the dc-link voltage at desired and stable value, a dc-dc boost converter is intercalated, in cascade with the output of the combination of the two sources and a sliding mode controller (SMC) was used to obtain the desired output voltage. The configuration proposed in this article plays the role of a small unit of energy production and represent a good solution for standalone applications.

In the future work, we will try to integrate the proposed architecture studied in this paper, in water pumping station intended for rural areas.

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